Manifesto

Robots are moving from labs into the real world, warehouses, homes, farms, cities. But there's a bottleneck nobody talks about.

Software ships fast because every change is tested automatically. Push code, run tests, know what broke in seconds. Decades of tooling make this possible: CI/CD, test suites, monitoring, observability.

Hardware has none of this.

You train a policy. You run it on a robot. It fails. You SSH in, pull the logs, download the video, scrub through the camera footage, try to figure out what went wrong. One run at a time. Hundreds of runs per week. No patterns detected. No memory between sessions. Start from scratch everytime.

This is the iteration loop for every robotics team on earth. And it's slow.

The bottleneck isn't training models, GPUs are fast. It isn't testing, run the robot. It's understanding what happened afterward. At scale. Across thousands of runs. Automatically.

We believe this is a solvable problem. Camera is the dominant sensor modality across every robot form factor: arms, mobile robots, drones, humanoids. Sensor data varies but the challenge is the same: turn raw physical world data into understanding.

Vision-language models can now watch a robot and reason what happened. Sensor analysis can detect dynamics invisible in video: force anomalies, control instability, hardware degradation. Agentic systems can synthesize both into structured knowledge that compounds over time.

We're building the system that understands what robots do in the physical world. We analyze every robot run automatically and surface what's happening, so engineers can act on evidence instead of intuition. Is it a data problem? A policy problem? A hardware problem? The engineer knows their system. We give them the clarity to decide fast.

This is a hard problem. Understanding physical behavior from raw data, across robot types, sensor modalities, and environments, is unsolved. We're not afraid of that. Hard problems worth solving are the only ones that matter.

If we succeed, robots iterate as fast as software. And when robots iterate fast, they deploy everywhere and diffuse into every part of society.

The vision is simple: iterate on hardware at the speed of software. Every robot. Every run.